Paper Citation Record · LEDGER

Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 41 inbound Pith citation observations for arXiv:2503.07572.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.07572 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 41 of 41 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:48.065006Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T09:59:44.665948Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 48f99603-5474-42f5-b4f9-e763540754af · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 146

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T01:29:56.717777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67d9088e-a32b-4723-8867-4a9ef489ad46 · inbound

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:25:48.065006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d92f2bc-acec-4275-80f0-22abdc1e0a66 · inbound

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy cites this paper.

ThinkLess: A Training-Free Inference-Efficient Method for Reducing Reasoning Redundancy Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:52.237254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d80b30-3761-4e5e-b55e-c5e36827d8ce · inbound

ProgRM: Build Better GUI Agents with Progress Rewards cites this paper.

ProgRM: Build Better GUI Agents with Progress Rewards Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:46.502834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eff9656-260f-4662-8891-409e8e3b4b38 · inbound

Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models cites this paper.

Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:36.490897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca712478-cdd0-4219-a452-36072aac2daf · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:53:03.913311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523b62c2-f102-40f1-9ae0-22fbd4ff1678 · inbound

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models cites this paper.

Don't Think Longer, Think Wisely: Optimizing Thinking Dynamics for Large Reasoning Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:21.577160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ffc267b-be9d-44f8-bf7a-2c865a31dcf0 · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:29.461138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95308d0d-230e-4fb2-9a55-11b1e9187da4 · inbound

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time cites this paper.

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:43.664836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ece831f-5459-469e-af83-01d6f0ccb08a · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T10:42:40.992654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f3e066-ffe6-42d3-8866-d5cb62a0cfe3 · inbound

Sample Complexity and Representation Ability of Test-time Scaling Paradigms cites this paper.

Sample Complexity and Representation Ability of Test-time Scaling Paradigms Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:37.612022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dde6b51-6090-42df-b014-a3bd8579b19a · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:10:31.523933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b642e89-0914-4e15-873d-ee3d7fab022d · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:38.378369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d2ad100-cff4-41f3-bf36-373daa431c22 · inbound

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction cites this paper.

Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:50.229084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83245270-4548-4a11-8767-ddf00921963f · inbound

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs cites this paper.

e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:27.410502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4594d305-d6ef-4987-a7ea-12d9132564ab · inbound

Formalizing Learning from Language Feedback with Provable Guarantees cites this paper.

Formalizing Learning from Language Feedback with Provable Guarantees Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:19.223327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90e46486-f059-4c37-a975-434082a63560 · inbound

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty cites this paper.

Fast on the Easy, Deep on the Hard: Efficient Reasoning via Powered Length Penalty Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:09.500490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278f6c69-2b5f-40b4-9fda-74409491e923 · inbound

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement cites this paper.

Exploring and Exploiting the Inherent Efficiency within Large Reasoning Models for Self-Guided Efficiency Enhancement Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:49.571611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41da26e3-4e5d-4fb3-8c07-362fc3b80f4f · inbound

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model cites this paper.

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:09.631754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636d64aa-4260-403f-b138-5acc801f305a · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:10.775809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 616a595b-8c34-490b-a32e-44a2b1fea9e9 · inbound

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:11:18.617898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6491f5ab-6699-46ce-a21b-57d51d5e1cac · inbound

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning cites this paper.

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:37.201287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b7ebd3-8f31-4636-ab99-73c31d9664ff · inbound

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens cites this paper.

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T17:04:38.734731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0887f2a1-f622-4a95-928f-fac43d84f501 · inbound

ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models cites this paper.

ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T16:19:53.905315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9fa6fe-b7a2-425b-a0b9-596688c4bcad · inbound

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T13:52:05.726613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4636812f-dd2f-435f-be1d-691f9d98dc4b · inbound

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness cites this paper.

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:31:41.560251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c72c55e-5d48-4e43-bf7b-f95054e9e5bc · inbound

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning cites this paper.

Towards Generalizable Reasoning: Group Causal Counterfactual Policy Optimization for LLM Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:22:31.164859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0c1130d8-29e0-4132-a5fb-cceb8f533b3a · inbound

Numerically Optimizing Shortcuts to Adiabaticity: A Hybrid Control Strategy cites this paper.

Numerically Optimizing Shortcuts to Adiabaticity: A Hybrid Control Strategy Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:35.916911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6698c8d1-37ab-4ce2-80f0-bd785d300b04 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:41:42.649683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3ff69dcd-fcf7-4372-bb43-db31ef2cab14 · inbound

Placing Puzzle Pieces Where They Matter: A Question Augmentation Framework for Reinforcement Learning cites this paper.

Placing Puzzle Pieces Where They Matter: A Question Augmentation Framework for Reinforcement Learning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:58:13.702378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1d05090-8e18-4e84-a6a4-0e01974bebef · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:09.170236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 445599e8-7336-47a9-84c1-fc24e4dd4631 · inbound

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning cites this paper.

GRPO-VPS: Enhancing Group Relative Policy Optimization with Verifiable Process Supervision for Effective Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:14:46.333051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86f5545e-8def-4fb0-badb-00ca4cf91a46 · inbound

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding cites this paper.

Distilling Long-CoT Reasoning through Collaborative Step-wise Multi-Teacher Decoding Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:31:08.850034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 059e7f97-c690-44a9-9d51-8eb20603a599 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 157

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.204015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63dd714d-a3d3-4cd1-967a-58432dc6f5b5 · inbound

Hint Tuning: Less Data Makes Better Reasoners cites this paper.

Hint Tuning: Less Data Makes Better Reasoners Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:36:26.324301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4808b51-4c5a-4ca8-9a52-22458dfbca55 · inbound

Hint Tuning: Less Data Makes Better Reasoners cites this paper.

Hint Tuning: Less Data Makes Better Reasoners Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:35:07.076988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c12158d-10a5-4b28-bf02-1bdde217889a · inbound

Understanding and Mitigating Premature Confidence for Better LLM Reasoning cites this paper.

Understanding and Mitigating Premature Confidence for Better LLM Reasoning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T14:04:44.414204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 17a0c6e7-55d2-4b2e-81e2-e9977bb01337 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:40.725804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d103120-ebce-4d84-9874-fd1eb5670917 · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 68

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:44.667858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b0fc51b-ff58-405e-ad0f-42a374f2bc6b · inbound

Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.

Addressing Over-Refusal in LLMs with Competing Rewards Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:05:29.165526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da886d2f-5d1b-45f5-b92c-c7ec909f6a29 · inbound

Structured Thoughts For Improved Reasoning And Context Pruning cites this paper.

Structured Thoughts For Improved Reasoning And Context Pruning Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T12:08:05.502310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.